964 results about "Data Origin" patented technology

An automated management system for managing data, outage repair, load switching, job workflow and crew dispatching, crew workflow, installation, maintenance and restoration of utility services by integrating geographic information systems (GIS) data with many other data sources so as to gather, transform, manipulate, analyze, and produce desired information for continuously supplying utility and relevant services. The data sources include customer information systems (CIS) and billing data, interactive voice recognition (IVR) call management data, supervisory control and data acquisition (SCADA), mobile crew management (MCM) data, automatic meter reading (AMR) data, automated vehicle location (AVL) data, engineering analysis data supported by 3rd party software packages (such as load monitoring and balancing), etc. In particular, the system allows an on-site engineer to retrieve data (ex. field maps, work orders, codes) or enter, via a portable device, inspection data (ex. such as poles or underground facilities, code violations).

The present invention provides a telecommunication apparatus, user equipment and method for Single Sign-On authentication purposes when the access network does not provide data origin authentication. The invention proposes the re-utilisation of the original access authentication carried out with the core network, namely with the home network holding the user's subscription or with the visited network where the user is roaming. Therefore, access credentials obtained during a successful authentication of the user with the core network are linked at the user equipment side with a secure tunnel established towards a service network through the access network. Said access credentials received at an entity of the service network are also linked therein with the secure tunnel, and both linked with an internal IP address to securely identify the user in the service network.

Data integrity between multiple databases with redundant data fields is enhanced by a synchronization method which adapts to unspecified database formats by a flexible format definition, identification of a data origin and identification of data targets to significantly improve data integrity and update efficiency in legacy database systems.

The invention discloses a multi-source data fusion system and method. The multi-source data fusion system comprises a data source subsystem used for acquiring multi-source data, a scene rule base used for storing a scene rule based on different scenes, a data fusion subsystem used for fusion of the multi-source data so as to form an analysis data set, correlating to the analysis data set according to the scene rule, and outputting a fusion database based on the scene rule, and a fusion database subsystem used for storing the fusion database based on the scene rule. By the adoption of the system and method, data fusion requirements in different scenes can be met, data fusion effectiveness is improved, and accurate data information service can be provided for requirements of different scenes.

Techniques for deriving a provenance of one or more of a plurality of output data elements generated from a given output port of a PC are provided. At least one dependency function is created that relates the one or more output data elements to a set of one or more input ports of the PC and a corresponding plurality of input data elements. The dependency function comprises an encoding of at least one of one or more temporal filters and one or more sequence filters relating to the plurality of input data elements. The at least one dependency function is stored. A history of stream-level bindings of one or more input streams to one or more input ports of the processing component and one or more output streams from one or more output ports of the processing component is stored. The plurality of input data elements belonging to the one or more input streams and the plurality of output data elements belonging to the one or more output streams are stored. The set of one or more input data elements from the plurality of input data elements are determined that relate to the one or more output data elements in accordance with at least one dependency function and the history of stream-level bindings.

Information is gathered from virtual interview responses, an enterprise map, and data repositories. A legal communications and collections component administers virtual interviews. The legal group annotates the virtual interview responses to add data obtained through follow-up interviews, etc. A search engine searches for a list of data sources for each custodian. Preservation and collection instructions are generated either manually or automatically. Custodians can be selectively added to the instructions based on the virtual interview responses. The instructions for the custodians are grouped according to the data source. The preservation and collection instructions are transmitted to the IT staff or data sources for implementation.

A system for enterprise information integration is described. The system is based on different layers:the data sources,source ontologies corresponding to the data schema of the data sources,an integration ontology integrating the different source ontologies,a level of query input, preferably in the form of a web service.Between the levels, mapping rules are used. These mapping rules and the entire system are based on predicate logic. The queries are answered with the help of the rules using inference based on predicate logic.

The present invention discloses a text emotional tendency analysis method applied to the field of financial Web. The method comprises: performing data source screening on Web financial text information and performing data acquisition; according to a Web financial text feature, constructing a financial emotional dictionary; and designing an independent information clearance algorithm and a Web financial text emotional tendency classification algorithm to perform Web text emotional tendency classification. The method is high in classification accuracy and high in classification speed, can effectively analyze whole emotion of a financial market by classifying emotional tendencies of a Web emotional text, and has important help and guidance significances for financial trend prediction.

The present invention is a system, method for accessing domains of information to identify heretofore unknown relationships between disparate sources of data to seek and obtain knowledge, the invention includes a source of data with one or more domains of information, an Object-Relationship Database for integrating objects from one or more domains of information and a knowledge discovery engine where relationships between two or more objects are identified, retrieved, grouped, ranked, filtered and numerically evaluated.

The invention relates to an agricultural field ontology library based semantic retrieval system and method, belonging to the technical field of intelligent retrieval. In order to improve the accuracy and the efficiency of an agricultural field information semantic retrieval process, only the useful structured data in a webpage are extracted by using an information extraction technology and used as the basic resource for retrieving, thus the structural property and the accuracy of the retrieval data source are greatly ensured in the stage of the basic resource of data; and then the comprehensive and professional agricultural-industry oriented ontology library is established, the semantic extension and inference is carried out according to the inquiry request of the user on the basis of a semantic ontology inference engine through the participation of the user, and the natural language submitted by the user is processed or the extension result is returned to the user once again so that the weight of each ontology example in a semantic extension set can be determined accurately in the participation process of the user, the extended ontology example set meets the inquiry requirement of the user, and further the final retrieval precision and recall rate are improved.

The invention discloses a model method of a traffic prediction. The method comprises the following steps of: (1) establishing a road traffic basic facility geographical information database, storing and updating traffic planning schemes, and establishing intersection delay determination; (2) establishing an urban planning construction geographical information database, storing regulatory detailed plans of each area, and utilizing an original unit method to construct traffic generation cases; (3) calling data of the road traffic basic facility geographical information database and the urban planning construction geographical information database, and utilizing a gravity model method to predict parallel distributed matrixes; (4) constructing a multi-element logit model, and determining the probability distribution for a single person selecting a travelling mode in specific travelling information; and (5) utilizing a capacity-limited multi-path distribution method to carry out traffic distribution. The modeling purpose, method to realization are overall planed, modeling parameter selection, basic data sources and calculation program design are coordinated, and the convenient application and operation of a traffic prediction model system are ensured.

The invention relates to a system and an achieving method of the system in the technical field of power system automation, in particular to a transformer substation alarming graph gateway minimizing system and an achieving method of the system. The minimizing system utilizes an embedded industrial personal computer as a hardware platform and a RedHat Linux 64 bit operation system as a software platform, and acquires data sources of the whole substation through data of an IEC61850 MMS protocol collection device, a shared memory real-time base and a file memory with a Harsh algorithm as the index serve as data storage media, a message bus runs through the applications for data interaction between different threads, alarming direct transmission service and picture refreshing service for alarming direct transmission and remote browsing are arranged on the base to provide a standard data source for the alarming forwarding and the remote browsed data forwarding. The system and the method solve the transmission and processing problems of a main station and caused by the fact that the access data of the transformer substation increase severely, and a new data interaction mode of the alarming direct transmission and the remote browsing is provided.

The invention discloses a data origin collection method of relational databases. The method comprises following steps: defining a data original model based on SQL data flow origin semantics; analyzing SQL sentences to generate an abstract syntax tree; browsing the abstract syntax tree to extract source lists, target lists and logic operators; and making structural descriptions of source lists, target lists and logic operator based on the data origin model to generate origin information metadata. The data origin collection method of relational databases has following beneficial effects: data-processing logic in SOL scripts can be described by data conversion graphs and attribute mapping graphs such that a data origin analysis function and a field affecting and analyzing function can be provided for a relation database system; data scripts can be analyzed; and the relationship between data tracing and analysis of data can be achieved based on analysis information.

The invention discloses an information safe transmission control method between an inside network and an outside network and a gateway thereof. An inside network gateway and an outside network gateway are respectively arranged between an inside industrial network and an outside public network. The inside industrial network is connected with the inside network gateway; the outside public network is connected with the outside network gateway through a network interface; and the inside network gateway and the outside network gateway are connected through a serial port. When the outside network gateway receives the data of the network interface from the outside public network, safety check is carried out to the received data of the network interface and the data source, and the data of the network interface passing the safety check is converted as the industrial protocol data of the serial port and sent to the inside network gateway through the serial port; and the data is sent to a targeted address through the inside network gateway. The gateway transmission manner realizes the double isolation of the hardware interface and the software protocol between the inside network and the outside network so as to effectively prevent the inside network from being attacked by outside adverse programs and ensure the security of the inside network.

A method and apparatus for creating a lineage for a data field is disclosed. The method may include creating a unique identifier for a data field. Also, a record of the origin of data is created when the data is inserted into the data field; however this is not required. The record of the origin of data is associated with the unique identifier for the data field. The lineage for a data field may be viewed. In so doing, the transformations to the data field may be shown.

The invention provides a multi-data source position information fusion method based on a Spark cluster. The method comprises the following steps that mass position information data is received through an interface, wherein the position information data is from a signaling collection system of provincial-level operators and an Internet user behavior big data platform; collected text files are encrypted and cleaned through a preprocessing program to remove invalid data, and the processed data is put into a Kafka in real time; the real-time data is processed through Spark Streaming, the processing comprises real-time position calculation, fusion, counting and trajectory generation operations, total-amount position information is obtained, and the processed total-amount position information is stored in a Redis database; the total-amount position information is sliced and exported according to a set cycle in the Redis database, the exported data is stored in an HDFS and supplied to an upper-layer application for calling and querying historical data through the Spark SQL interface. The invention further provides a system of the multi-data source position information fusion method based on the Spark cluster.

A system and method for monitoring, protecting, and transporting data on convergent networks of information (IT) and operational technologies (OT). The system and method provide a complete hybrid on-premise / cloud-based cybersecurity solution that includes analyst tools, host and network visibility, data provenance, and threat adaptation and mitigation while simultaneously providing an optional upstreaming pseudonymized feed of data for additional insight and optimization. The system and method comprise monitoring tools providing information regarding cybersecurity, asset information, and network topology which may further be used to identify, report, and adapt to malicious actors and actions within an organization's network. Furthermore, the system and method may comprise cyber physical graphs and other transformative metadata visualizations delivering contextual and visual information to quantifiably enhance machine and human operations and decisions.

A method and apparatus for creating a lineage for a data field is disclosed. The method may include creating a unique identifier for a data field. Also, a record of the origin of data is created when the data is inserted into the data field; however this is not required. The record of the origin of data is associated with the unique identifier for the data field. The lineage for the data field may be viewed. In so doing, the transformations to the data field may be shown.

The embodiment of the invention provides a method for generating a heterogeneous database report, which is used for solving the problem that because the prior art can not support the connection of heterogeneous databases or the single connection type consumes resources, report data can not be acquired from service scenes of multi-dimensional application. The method comprises the following steps: establishing database connection with each heterogeneous database, and saving the database connection in the database connection pool of each heterogeneous database as a database connection object; acquiring data in each heterogeneous database through the database connection pool of each heterogeneous database; and integrating the data in each heterogeneous database into a data model which can be recognized by the report, and then, showing the data. The invention can efficiently acquire the data in each heterogeneous database, save the server resources and reduce the system overhead, and the integration of the data in each heterogeneous database can also enable the data to be synchronously shown in the report through the same model.

The invention discloses a quick collection system for distributed internet data. The system comprises five layers including a seed website setting node, a hyperlink collection layer, a real-time queue, a webpage downloading and parsing layer and a webpage data storage layer, wherein the seed website setting node is used for setting each parameter and each extracting rule for storing a data source; the hyperlink collection layer is used for requesting the hyperlink list webpage of the data source and extracting the hyperlink of a target webpage; the real-time queue is used for accessing a URL (Uniform Resource Locator) hyperlink extracted by the hyperlink collection layer, the extraction rule corresponding to the URL hyperlink and the accessed URL hyperlink; the webpage downloading and parsing layer is used for requesting and parsing the URL hyperlink which is not accessed in the real-time queue and carrying out formatting extraction on specific data; and the webpage data storage layer is used for storing target data obtained by the formatting extraction carried out by the webpage downloading and parsing layer. By use of the system, data collection is carried out by a distributed layered cooperation way, and the system application requirements including high data collection quantity, more data sources and high instantaneity requirements can be coped with.

The invention provides a method for monitoring a cluster storage interface node load. The method adopts three modules including a performance parameter collection module of an interface node server, an interface node server real time load monitoring module and a load evaluating module integrating an interface node server performance parameter threshold value, real-time monitoring and a maximum load change rate, wherein the interface node server performance parameter collection module is a system device performance parameter collection module arranged on the interface node server, is used for circularly obtaining information on CPU, internal memory, network performance parameters of the interface node server, and is taken as one of the sources of the real-time load monitoring and the maximum load change rate modules and the system load evaluating module.

Disclosed herein are: systems capable of searching, receiving and conglomerating the data from real estate databases of varying formats, and translating that received into a common format; execution of pre-defined translation rules referencing data tags used within the system or the originating databases; rules constructed in a simple, hierarchical or a class-based structure whereby one rule depends upon the output of another rule for its input; data sources prioritized or merged where the same property-related information is presented in more than one source; map definitions containing rule sets crafted for a particular use, such as for a particular consumer or user; such systems used in the course of real estate appraisals, in property search reports, extending across databases of differing formats. Detailed information on various example embodiments of the inventions are provided in the Detailed Description below, and the inventions are defined by the appended claims.

The invention provides an automatic word analysis report generation method. The automatic word analysis report generation method includes steps: inserting a plurality of bookmarks into a word template, and setting filtration conditions of data origins; setting data sources of the bookmarks, and filtering the data origins provided by the data sources of all the bookmarks according to the filtration conditions; defining a one to one correspondence relationship between each bookmark and each data origin after being filtered; defining the bookmarks, seeking the data origins corresponding to the bookmarks, replacing position content of the bookmarks with the data origins after obtaining the data origins, repeatedly and circularly positioning the bookmarks until all the bookmarks are sought and the position content of all the bookmarks are replaced, and finally obtaining a word analysis report. The invention further provides an automatic word analysis report generation device. The automatic word analysis report generation device comprises a configuration module, a matching module and a generation module. The automatic word analysis report generation method and the automatic word analysis report generation device can automatically generate the word analysis report, save manpower, and simultaneously improve accuracy.

The invention relates to a construction method for an urban disaster prevention and fighting informationalized rescue command comprehensive intelligent platform. The method organically integrates the telemetry and remote-sensing devices for video monitoring and fire detection and alarm, the CHINANET, and the acoustic and optical analysis and data transmission techniques. Through the establishment of a local area network which is connected with the CHINANET and is specialized in disaster prevention and rescue handling, the platform realizes the real-time acquisition of a great amount of disaster area information (including the information about the disaster occurrence process) in a most economical mode within the shortest time, shares the real-time information with related experts and technical staff for analysis and treatment in a safe mode, and provides a brand-new informationalized solution for the disaster cause analysis, process recording and rescue handling. The invention also provides a practical solution for the wider practical and daily application of the system. Simultaneously, the method related to data acquisition and processing also breaks an inherent data source, acquisition and transmission mode of the optical analysis.

The invention discloses an intelligent face recognition and retrieval method based on cloud, which comprises the following steps: automatically uploading a mobile phone photo; adding a photo description; and automatically identifying and researching an image, wherein the step of automatically identifying and researching the image comprises the steps of dynamic recognition, dynamic search and static search. Photos in a mobile phone containing the faces are automatically uploaded to a cloud server to be shared; description information is labeled for the face; a user can conveniently inquire relevant information, such as the name and the age of a person according to the face appearance; the function of looking up the face according to description information is provided for the user; and the intelligent face recognition retrieval method based on cloud can be widely applied to fields such as public security and internet friend making. The retrieval method has the characteristics of simple system framework, low cost, simple retrieval step and easiness in operation. The data of a system is from vast data generated by a great quantity of terminal users, users can grade and revise face recognition data, so that the data of the system can be correctly revised, and the data can become more and more accurate.

The invention discloses a data origin tracking method on sensor data stream complex query results. The method comprises the following steps of determining the size of an origin tracking query sliding window; conducting standardized description on the origin query; judging the class of the origin tracking query and designing corresponding algorithm; designing the frame of origin tracking; and implementing the whole origin tracking algorithm so as to realize tracking the data origin of the sensor data stream complex query results. The method breaks through the technical limitation that an existing sensor data management system cannot support complex query backtrack, firstly introduces a data origin tracking concept to the complex query field of sensor data stream, and provides a feasible solution for the new online tracking application.

The invention discloses a business centralized monitoring method and system. The method includes the following steps that: business related data of a business system are acquired; the business related data are cleaned according to preset data cleaning rules, so that monitoring data of a preset format can be generated; and the monitoring data are analyzed, whether a business anomaly occurs is judged, if a business anomaly occurs, an anomaly processing flow matched with the business anomaly is determined according to a preset anomaly processing strategy, and operation corresponding to the anomaly processing flow is executed. According to the business centralized monitoring method and system of the invention, links such as a business execution link and a monitoring retry feedback link, in a business system are decoupled, and monitoring can be performed independently according to different business anomaly conditions, and anomaly processing operation can be carried out; different anomaly processing rule configuration is carried out according to different data source; and the stability of the operating of business can be realized, and the success rate of the business execution link can be ensured.

A system, a method and a computer readable medium for storing data elements and related data provenance information. The data elements may be represented in a hyper-table having rows and columns which may be indexed. The data-values of the corresponding data-elements in the hyper-cells may be retrieved based on the indices. Snapshots of the indices may be generated at pre-determined time periods. Checkpoints of the hyper-table may be generated at time periods that are based on transactions on the hyper-table. The hyper-table is capable of being queried as the hyper-table existed at certain time-periods, and data-values of the data-elements may be retrieved as the data-elements existed at such time-periods.